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Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
Published on: June 30, 2023
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High Throughput SARS-CoV-2 Genome Sequencing from 384 Respiratory Samples Using the Illumina COVIDSeq Protocol
Nasserdine Papa Mze1,2, Idir Kacel1, Mamadou Beye3
1UMR VITROME, Aix Marseille University, IRD, AP-HM, SSA, IHU-Méditerranée Infection, 13005 Marseille, France.
Genes
|March 29, 2023
Summary
This study introduces a faster, cost-effective sequencing method for SARS-CoV-2 genomes. The modified protocol provides comparable results to the standard method, accelerating viral evolution tracking during the COVID-19 pandemic.
Area of Science:
- Genomics
- Virology
- Bioinformatics
Background:
- The COVID-19 pandemic necessitated rapid genomic surveillance of SARS-CoV-2.
- High-throughput sequencing is crucial for tracking viral evolution and emergence of variants.
Purpose of the Study:
- To develop and validate a rapid, cost-effective sequencing protocol for 384 SARS-CoV-2 samples.
- To adapt Illumina NovaSeq libraries for use on an Illumina MiSeq instrument.
Main Methods:
- A modified Illumina COVIDSeq protocol was developed by adapting NovaSeq library preparation for MiSeq instruments.
- The modified protocol was used to sequence 384 samples, and results were compared to the standard COVIDSeq protocol.
- Sequence data quality and coverage were analyzed for both protocols.
Main Results:
- The modified protocol yielded interpretable sequences for 94.6% of samples with 91.6% average coverage.
- The standard protocol yielded interpretable sequences for 94.9% of samples with 95.6% average coverage.
- The modified protocol reduced run time to 53.5 hours and saved 14,155 euros per run compared to the standard protocol.
Conclusions:
- The modified COVIDSeq protocol offers a rapid, cost-effective alternative for SARS-CoV-2 genome sequencing.
- This protocol provides high-quality results comparable to the standard method, enabling faster viral surveillance.
- The adapted protocol significantly improves efficiency for large-scale sequencing efforts during pandemics.
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